AI & Generative AI for Business Leaders: From Strategy to Agentic AI Execution

Empower business leaders to leverage AI and generative AI—from strategic planning to practical agentic AI execution that drives innovation and results.
Duration: 1 Day
Hours: 3 Hours
Training Level: All Levels
img
Contact Support for Group Offers
Batch One
Tuesday, March 03, 2026
11:00 AM - 02:00 PM (Eastern Time)
Batch Two
Tuesday, April 07, 2026
11:00 AM - 02:00 PM (Eastern Time)
Batch Three
Friday, May 08, 2026
11:00 AM - 02:00 PM (Eastern Time)
Live Session
Single Attendee
$149.00 $249.00
Live Session
Recorded
Single Attendee
$199.00 $332.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$249.00 $416.00
6 month Access for Recorded

About the Course:

This course is designed for business leaders, managers, and decision-makers who want to understand Artificial Intelligence and Generative AI from a practical, business-first lens, without getting lost in code or jargon.

Participants will learn how Generative AI is reshaping business models, workforce dynamics, and decision-making. The course moves step-by-step from foundational concepts to strategic planning, organizational readiness, governance, and finally into Agentic AI systems, culminating in a real-world project.

The focus is on thinking, evaluating, and leading AI initiatives, not building algorithms.

Course Objectives:

By the end of this course, participants will be able to:

  • Understand what Generative AI and Agentic AI really mean for businesses.
  • Think strategically about AI adoption instead of chasing trends.
  • Identify high-impact business problems suitable for AI solutions.
  • Prepare people, processes, and platforms for AI readiness.
  • Evaluate AI vendors and solutions with confidence.
  • Address ethical, governance, and risk challenges realistically.
  • Design a clear Generative AI and Agentic AI roadmap.
  • Confidently lead AI initiatives within their organization.

Who is the Target Audience?

This course is ideal for:

  • Business Leaders & CXOs.
  • Product Managers.
  • Program & Project Managers.
  • Consulting Professionals.
  • Strategy & Transformation Leaders.
  • Operations & Finance Leaders.
  • HR & L&D Heads.
  • Entrepreneurs & Startup Founders.
  • Senior Managers transitioning into AI-driven roles.
  • No prior technical or coding background required.

Basic Knowledge:

Participants should have:

  • A general understanding of how businesses operate.
  • Familiarity with digital tools (ERP, CRM, dashboards, automation tools).
  • Exposure to concepts like data, analytics, or digital transformation (helpful but not mandatory).
  • An interest in business strategy, efficiency, and innovation.
  • No programming, math, or AI background is expected.

Curriculum
Total Duration: 3 Hours
Introduction to Generative AI

  • What AI and Generative AI are (in simple business terms)
  • How Generative AI differs from traditional automation
  • Why Generative AI matters now

How to Think about Generative AI from a Business Perspective

  • AI as a business capability, not a technology project
  • Value creation vs cost reduction
  • Competitive advantage and differentiation

Launching Generative AI for Your Business

  • Starting small vs scaling fast
  • Internal pilots and proof of value
  • Common leadership mistakes during launch

Ensuring You Have the Right Human Capital for GenAI Adoption

  • New roles and skill shifts
  • Business users vs AI specialists
  • Change management and workforce readiness

Process to Ready the Business for Generative AI

  • Process maturity and AI readiness
  • Where AI fits into existing workflows
  • Redesigning processes for AI collaboration

Platforms to Ready the Business for Generative AI

  • AI platforms, data platforms, and cloud ecosystems
  • Build vs buy decisions
  • Integration with enterprise systems

Generative AI: Savior or Saboteur of the Digital Workforce?

  • Productivity gains vs job displacement fears
  • Augmentation vs automation
  • Managing cultural resistance

Build a Generative AI Strategy and Project Roadmap

  • Aligning AI with business goals
  • Prioritization frameworks
  • Short-term wins and long-term vision

Agentic AI – Is Your Organization Ready?

  • What Agentic AI really is
  • How it differs from chatbots and copilots
  • Organizational readiness signals

Technical Essentials You Need (Minus the Coding)

  • Models, data, APIs, and orchestration (conceptual view)
  • What leaders must understand vs what they can delegate
  • Asking the right technical questions

Spotting the Right Problems for Agentic AI

  • Characteristics of good Agentic AI use cases
  • Decision-heavy and workflow-heavy problems
  • Red flags and poor candidates

Evaluating Solutions and Talking Tech

  • How to evaluate vendors and proposals
  • Translating technical claims into business value
  • Avoiding hype-driven decisions

Ethics, Governance, and Risk in the Real World

  • Data privacy and compliance
  • Bias, hallucinations, and accountability
  • Setting up governance without slowing innovation

Your Agentic AI Roadmap

  • Phased adoption approach
  • KPIs and success metrics
  • Sustaining and scaling Agentic AI initiatives

Project: Agentic Expense Reporting System

  • Business problem overview
  • Agentic workflow design
  • Decision points and controls
  • Expected business outcomes
  • Lessons for enterprise-wide replication